In catastrophic injury claims, settlement value usually rises or falls based on what can be proven, not just what can be described. AI tools typically rely on a simplified set of inputs (injury severity, age, treatment type, and a few broad assumptions). That’s not the same as reviewing:
- neurologic findings (not just the diagnosis label)
- imaging and functional assessments
- complication risk (for example, skin integrity issues, respiratory concerns, or bowel/bladder involvement)
- a life-care plan tied to your expected needs
For Portland residents, the practical problem is that the most important facts often come from documents and timelines—police/incident reports, employer records, early EMS notes, witness statements, and consistent medical reporting. If your AI tool can’t “see” those details, it can’t accurately reflect the strength of causation or liability.


